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<table width="100%" summary="page for car {qruleset}"><tr><td>car {qruleset}</td><td align="right">R Documentation</td></tr></table>
<h2>car</h2>


<h3>Description</h3>

<p>
Car buying acceptability classification.
</p>


<h3>Usage</h3>

<pre>data(car)</pre>


<h3>Format</h3>

<p>
A data frame with 1728 observations on the following 7 variables.
<dl>
<dt><code>buying</code></dt><dd>a factor with levels <code>high</code> <code>low</code> <code>med</code> <code>vhigh</code></dd>
<dt><code>maint</code></dt><dd>a factor with levels <code>high</code> <code>low</code> <code>med</code> <code>vhigh</code></dd>
<dt><code>doors</code></dt><dd>a factor with levels <code>2</code> <code>3</code> <code>4</code> <code>5more</code></dd>
<dt><code>persons</code></dt><dd>a factor with levels <code>2</code> <code>4</code> <code>more</code></dd>
<dt><code>lug_boot</code></dt><dd>a factor with levels <code>big</code> <code>med</code> <code>small</code></dd>
<dt><code>safety</code></dt><dd>a factor with levels <code>high</code> <code>low</code> <code>med</code></dd>
<dt><code>class</code></dt><dd>a factor with levels <code>acc</code> <code>good</code> <code>unacc</code> <code>vgood</code></dd>
</dl>

<h3>Details</h3>

<p>
Car buying acceptability classification based on hierarhical structure:
CAR                      car acceptability
. PRICE                  overall price
. . buying               buying price
. . maint                price of the maintenance
. TECH                   technical characteristics
. . COMFORT              comfort
. . . doors              number of doors
. . . persons            capacity in terms of persons to carry
. . . lug_boot           the size of luggage boot
. . safety               estimated safety of the car
</p>


<h3>Source</h3>

<p>
http://archive.ics.uci.edu/ml
</p>



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